Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and Disturbances

This paper addresses the challenging issue of trajectory tracking for uncertain quadrotor unmanned aerial vehicles (UAVs), particularly under the constraints of input saturation and external disturbances. It introduces adaptive laws for managing uncertainties in mass and inertia moments without requ...

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Main Authors: Jingyang Kuang, Mou Chen
Format: Article
Language:English
Published: MDPI AG 2024-10-01
Series:Drones
Subjects:
Online Access:https://www.mdpi.com/2504-446X/8/11/614
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author Jingyang Kuang
Mou Chen
author_facet Jingyang Kuang
Mou Chen
author_sort Jingyang Kuang
collection DOAJ
description This paper addresses the challenging issue of trajectory tracking for uncertain quadrotor unmanned aerial vehicles (UAVs), particularly under the constraints of input saturation and external disturbances. It introduces adaptive laws for managing uncertainties in mass and inertia moments without requiring prior knowledge, ensuring effective control even with varying system parameters. To counteract the effects of input saturation, the study incorporates an auxiliary system designed to compensate for these limitations. Additionally, a disturbance observer (DO) is utilized to manage and mitigate the impact of time-varying external disturbances. The proposed control strategy integrates a sliding mode adaptive control approach with an inner–outer loop structure, enhancing robustness and adaptability. Numerical simulations demonstrate the effectiveness of the designed control strategy.
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spelling doaj-art-71bc3aa38bc74f2ebb4acf92ee7899352025-08-20T02:08:09ZengMDPI AGDrones2504-446X2024-10-0181161410.3390/drones8110614Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and DisturbancesJingyang Kuang0Mou Chen1College of Automation Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing 210016, ChinaCollege of Automation Engineering, Nanjing University of Aeronautics and Astronautics (NUAA), Nanjing 210016, ChinaThis paper addresses the challenging issue of trajectory tracking for uncertain quadrotor unmanned aerial vehicles (UAVs), particularly under the constraints of input saturation and external disturbances. It introduces adaptive laws for managing uncertainties in mass and inertia moments without requiring prior knowledge, ensuring effective control even with varying system parameters. To counteract the effects of input saturation, the study incorporates an auxiliary system designed to compensate for these limitations. Additionally, a disturbance observer (DO) is utilized to manage and mitigate the impact of time-varying external disturbances. The proposed control strategy integrates a sliding mode adaptive control approach with an inner–outer loop structure, enhancing robustness and adaptability. Numerical simulations demonstrate the effectiveness of the designed control strategy.https://www.mdpi.com/2504-446X/8/11/614trajectory tracking controlsliding mode controldisturbance observerinput saturationparametric uncertainties
spellingShingle Jingyang Kuang
Mou Chen
Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and Disturbances
Drones
trajectory tracking control
sliding mode control
disturbance observer
input saturation
parametric uncertainties
title Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and Disturbances
title_full Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and Disturbances
title_fullStr Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and Disturbances
title_full_unstemmed Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and Disturbances
title_short Adaptive Sliding Mode Control for Trajectory Tracking of Quadrotor Unmanned Aerial Vehicles Under Input Saturation and Disturbances
title_sort adaptive sliding mode control for trajectory tracking of quadrotor unmanned aerial vehicles under input saturation and disturbances
topic trajectory tracking control
sliding mode control
disturbance observer
input saturation
parametric uncertainties
url https://www.mdpi.com/2504-446X/8/11/614
work_keys_str_mv AT jingyangkuang adaptiveslidingmodecontrolfortrajectorytrackingofquadrotorunmannedaerialvehiclesunderinputsaturationanddisturbances
AT mouchen adaptiveslidingmodecontrolfortrajectorytrackingofquadrotorunmannedaerialvehiclesunderinputsaturationanddisturbances